2,441 Lead Data Scientist AI Ml jobs in Kenya
Lead Research Scientist - AI & Machine Learning
Posted 6 days ago
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Job Description
Responsibilities:
- Lead the design and implementation of advanced AI/ML models and algorithms.
- Conduct cutting-edge research in areas such as deep learning, NLP, computer vision, etc.
- Develop novel research methodologies and experimental designs.
- Analyze and interpret large datasets to extract meaningful insights.
- Evaluate and optimize model performance using rigorous scientific methods.
- Mentor and guide junior research scientists and engineers.
- Collaborate with cross-functional teams to integrate research findings into products.
- Stay current with the latest advancements in AI/ML and related fields.
- Contribute to publications, patents, and conference presentations.
- Manage research project timelines and deliverables in a remote environment.
Qualifications:
- Ph.D. or M.S. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- 5+ years of research experience in AI/ML, with a strong publication record.
- Proven expertise in one or more AI/ML subfields (e.g., deep learning, NLP, CV).
- Proficiency in Python, R, and ML frameworks (TensorFlow, PyTorch).
- Experience with large-scale data analysis and cloud computing platforms.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong leadership and mentoring capabilities.
- Exceptional written and verbal communication skills, particularly for technical concepts.
- Ability to work independently and drive research initiatives in a remote setting.
Lead Research Scientist - AI/ML
Posted 13 days ago
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Job Description
Responsibilities:
- Lead and conduct advanced research in AI/ML domains.
- Develop and implement novel AI/ML algorithms and models.
- Design and execute experiments to validate research hypotheses.
- Collaborate with product teams to integrate AI/ML solutions.
- Mentor and guide junior research scientists and engineers.
- Publish research findings in top-tier conferences and journals.
- Stay abreast of the latest advancements in AI/ML research and industry trends.
- Contribute to the development of intellectual property and patents.
- Manage research project timelines and resources effectively.
- Present research findings to internal and external stakeholders.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- 7+ years of experience in AI/ML research and development.
- Proven track record of innovative research and publications.
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong programming skills (e.g., Python, C++).
- Experience with various ML techniques (e.g., NLP, computer vision, reinforcement learning).
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong leadership, communication, and interpersonal skills.
- Ability to work independently and manage complex research projects in a remote environment.
Lead Research Scientist - AI & Machine Learning (Remote)
Posted 18 days ago
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Job Description
Responsibilities include identifying promising research avenues, defining project roadmaps, and overseeing the entire research lifecycle from ideation to prototype development and potential product integration. You will conduct in-depth literature reviews, experiment with various AI/ML techniques, and analyze experimental results to derive meaningful insights. A deep understanding of deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling is essential. You will also be responsible for publishing research findings in top-tier conferences and journals, as well as presenting work to internal stakeholders and the broader scientific community. This role demands strong leadership qualities, excellent problem-solving skills, and the ability to foster a collaborative and innovative research environment.
We are looking for an individual with a passion for scientific discovery and a proven ability to translate complex theoretical concepts into practical applications. Experience with major AI/ML frameworks (e.g., TensorFlow, PyTorch) and programming languages (Python) is required. You will mentor junior researchers, guide their technical development, and ensure the quality and reproducibility of research outcomes. This is an exceptional opportunity to contribute to significant scientific breakthroughs in a remote setting and shape the future of AI research for our client. The role is based in **Embu, Embu, KE**, but is fully remote.
Lead Research Scientist - AI in Material Science
Posted 21 days ago
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Job Description
Qualifications:
- Ph.D. in Material Science, Physics, Chemistry, Computer Science, or a related field with a strong focus on AI/Machine Learning.
- Minimum of 8 years of post-doctoral research experience in material science or AI research.
- Proven track record of leading research projects and managing research teams.
- Extensive experience with AI/machine learning algorithms and their application to scientific problems.
- Proficiency in programming languages relevant to AI and data analysis (e.g., Python, R, C++).
- Experience with scientific simulation and modeling tools.
- Excellent publication record in peer-reviewed journals and conference presentations.
- Strong analytical, problem-solving, and critical thinking skills.
- Exceptional communication and interpersonal skills, with the ability to mentor and lead junior researchers.
Remote Lead Research Scientist - AI/ML
Posted 16 days ago
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Job Description
Responsibilities:
- Lead and direct research projects in areas such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Design and implement novel AI/ML algorithms and models to solve complex problems.
- Conduct rigorous experimental validation and performance analysis of research prototypes.
- Collaborate with product development teams to translate research findings into practical applications and features.
- Stay abreast of the latest academic research and industry advancements in AI/ML.
- Publish research findings in top-tier conferences and journals where appropriate.
- Mentor and guide junior researchers and engineers, fostering a culture of scientific inquiry and innovation.
- Develop and manage research roadmaps, ensuring alignment with company strategic goals.
- Secure and manage research grants or funding where applicable.
- Present research progress and outcomes to technical and executive leadership.
This is a hybrid role, requiring a balance of remote work flexibility and in-person collaboration for critical team meetings and brainstorming sessions at our facilities. While the conceptual location is Ongata Rongai, Kajiado, KE , you will have the ability to work remotely for a significant portion of your time.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field.
- A minimum of 7 years of experience in AI/ML research, with a proven track record of significant contributions (publications, patents, successful product integrations).
- Deep expertise in one or more AI/ML subfields (e.g., deep learning, NLP, computer vision).
- Proficiency in programming languages commonly used in AI/ML research (e.g., Python, TensorFlow, PyTorch, scikit-learn).
- Strong theoretical and practical understanding of machine learning algorithms and statistical modeling.
- Experience leading research teams and managing research projects.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts effectively.
- Ability to work effectively in both independent and collaborative settings.
Lead Research Scientist - AI/ML - Remote
Posted 21 days ago
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Job Description
Key Responsibilities:
- Lead and mentor a team of AI/ML researchers in a remote setting.
- Define and execute the research agenda for AI/ML projects.
- Develop and implement novel AI/ML algorithms and models.
- Conduct rigorous experimentation and validation of research findings.
- Publish research results in leading scientific journals and conferences.
- Collaborate with engineering teams to deploy models into production environments.
- Stay abreast of the latest advancements in AI, ML, and related fields.
- Contribute to the intellectual property portfolio through patent applications.
- Present research progress and findings to stakeholders and executive leadership.
- Foster a collaborative and innovative research environment.
- Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a closely related field.
- Minimum of 8 years of post-Ph.D. research experience in AI/ML.
- Demonstrated leadership experience in managing research teams.
- Strong publication record in top-tier AI/ML conferences and journals.
- Expertise in one or more areas such as deep learning, NLP, computer vision, reinforcement learning.
- Proficiency in programming languages like Python and ML frameworks (e.g., TensorFlow, PyTorch).
- Excellent analytical, problem-solving, and critical-thinking skills.
- Outstanding communication and interpersonal skills, with the ability to explain complex technical concepts.
- Proven ability to work independently and drive research initiatives in a remote environment.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
Lead Data Scientist - AI Research
Posted 21 days ago
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Job Description
Key responsibilities include leading research projects from conception to implementation, mentoring junior data scientists, and collaborating with cross-functional teams to translate research findings into actionable insights and product features. You will be responsible for designing experiments, developing predictive models, and analyzing large, complex datasets to uncover patterns and drive strategic decisions. Staying abreast of the latest advancements in AI, machine learning, deep learning, and related fields is critical.
The ideal candidate will possess a PhD or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, with a strong focus on AI and machine learning. Proven experience in leading research projects, publishing scientific papers, and developing complex AI models is essential. Proficiency in programming languages like Python or R, along with extensive experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), is mandatory. Exceptional analytical, problem-solving, and communication skills are required for effective remote collaboration and knowledge sharing.
Responsibilities:
- Lead AI research projects, defining objectives and methodologies.
- Develop and implement advanced machine learning and deep learning models.
- Analyze large, complex datasets to extract meaningful insights.
- Design and conduct experiments to validate AI hypotheses.
- Mentor and guide junior data scientists and researchers.
- Collaborate with engineering teams to integrate AI models into products.
- Publish research findings in reputable journals and present at conferences.
- Stay current with the latest AI and ML research trends and technologies.
- Contribute to the strategic direction of the company's AI initiatives.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Artificial Intelligence, or a related quantitative field.
- Minimum of 7 years of experience in data science, with a significant focus on AI/ML research.
- Demonstrated experience in leading research projects and publishing academic work.
- Expertise in programming languages such as Python or R.
- Proficiency with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
- Strong understanding of statistical modeling, algorithms, and data mining techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills for remote collaboration and technical documentation.
- Proven ability to work independently and manage complex research initiatives.
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Lead Data Scientist - Machine Learning
Posted 19 days ago
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Lead Data Scientist, Machine Learning Applications
Posted 4 days ago
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Job Description
Responsibilities:
- Lead the design, development, and deployment of machine learning models to solve complex business problems.
- Architect scalable and robust ML pipelines for data ingestion, feature engineering, model training, and evaluation.
- Collaborate with engineering and product teams to integrate ML solutions into existing products and services.
- Mentor and guide junior data scientists, fostering a culture of innovation and technical excellence.
- Stay current with the latest research and advancements in machine learning, artificial intelligence, and data science.
- Develop and implement best practices for model monitoring, validation, and continuous improvement.
- Communicate complex technical findings and recommendations to non-technical stakeholders.
- Evaluate and select appropriate ML algorithms and tools for specific project needs.
- Manage project timelines, resources, and deliverables for data science initiatives.
- Contribute to the company's data strategy and technical roadmap.
- Ensure the ethical and responsible use of data and AI technologies.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7 years of experience in data science and machine learning, with at least 2 years in a leadership role.
- Expertise in Python, R, and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proven experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of various ML algorithms, including deep learning, NLP, and computer vision.
- Experience in deploying ML models into production environments and MLOps practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
- Proven ability to lead and mentor a team in a remote setting.
- Experience with agile development methodologies.
- Published research or contributions to open-source ML projects is a plus.
Lead Data Scientist - Machine Learning (Remote)
Posted 19 days ago
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Job Description
Responsibilities:
- Lead the end-to-end development and implementation of machine learning models for various business applications, including prediction, classification, and clustering.
- Design and conduct experiments to test hypotheses and validate model performance.
- Mentor and guide a team of data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with stakeholders to understand business needs and translate them into data science projects.
- Perform advanced statistical analysis and data mining on large, complex datasets.
- Develop and maintain data pipelines, ensuring data quality and integrity.
- Stay abreast of the latest research and advancements in machine learning and AI.
- Communicate complex findings and recommendations clearly and effectively to both technical and non-technical audiences through presentations and reports.
- Contribute to the strategic roadmap for data science initiatives within the company.
- Ensure the ethical and responsible use of data and AI models.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- 8+ years of experience in data science, with a significant focus on machine learning and predictive modeling.
- Proven experience in leading data science projects and mentoring teams.
- Deep understanding of various machine learning algorithms (e.g., regression, classification, deep learning, NLP) and their practical applications.
- Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Strong experience with SQL and working with large datasets.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark) is highly desirable.
- Exceptional analytical, problem-solving, and critical-thinking skills.
- Excellent communication, presentation, and interpersonal skills, essential for remote collaboration.
This is a premier opportunity for a talented data scientist to lead impactful projects in a fully remote capacity. Your expertise will drive innovation, with a clear connection to the development needs of emerging markets and regions like **Ongata Rongai, Kajiado, KE**, though the position is entirely remote.